Prestige Cosmetics

Europe

Revenue in the Prestige Cosmetics segment amounts to US$10,155m in 2019. The market is expected to grow annually by 3.2% (CAGR 2019-2022).

In global comparison, most revenue is generated in United States (US$5,765m in 2019).

In relation to total population figures, per person revenues of US$13.43 are generated in 2019.

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Prestige Cosmetics include decorative cosmetics like make-up, lipsticks and gloss, eyeshadow and mascara, nail polish and similar products. The overall market definition is aligned with the Cosmetics segment in the Consumer Market Outlook’s Cosmetics and Personal Care market, while here only the super- and ultra-price range is considered. Professional products produced for cosmetic parlors are not included. Likewise, only product sales are included, and beauty services are excluded.

The shown market data are based on an analysis of more than 100 of the biggest luxury companies in the world. A complete list of all companies and brands covered can be found in the methodology description. Sales by smaller companies or artisanal production unaffiliated with the companies covered are not included. A detailed list of all assessed companies and their brands can be found in the methodology. All data are shown at retail value, which includes markups for retail distribution and sales taxes.

L’Óréal’s Luxe division (e.g. Lancôme), Estée Lauder (MAC and other brands) and LVMH’s cosmetic brands (e.g. Benefit) as well as Coty’s Luxury and Shiseido’s Prestige divisions are the most important players in this field.

Global Comparison – Revenue:

The “Revenue” tab shows a comparison of revenues for the leading economies in the selected market (market segment, region) and year.

A definition and detailed explanation of the displayed markets can be found here.×

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Key Market Indicators

The following Key Market Indicators give an overview of the social and economic outlook of the selected region and provide additional insights into relevant market-specific developments. These indicators, together with data from statistical offices, trade associations and companies serve as the foundation for the Statista market models.

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Population in m

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0-4 years in m

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5-9 years in m

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10-14 years in m

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15-19 years in m

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20-24 years in m

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25-29 years in m

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30-34 years in m

Number of individuals (age 30-34) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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35-39 years in m

Number of individuals (age 35-39) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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40-44 years in m

Number of individuals (age 40-44) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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45-49 years in m

Number of individuals (age 45-49) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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50-54 years in m

Number of individuals (age 50-54) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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55-59 years in m

Number of individuals (age 55-59) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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60-64 years in m

Number of individuals (age 60-64) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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65-69 years in m

Number of individuals (age 65-69) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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70-74 years in m

Number of individuals (age 70-74) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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75-79 years in m

Number of individuals (age 75-79) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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80-84 years in m

Number of individuals (age 80-84) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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85-89 years in m

Number of individuals (age 85-89) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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90-94 years in m

Number of individuals (age 90-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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95-99 years in m

Number of individuals (age 95-99) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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100+ years in m

Number of individuals (age 100+) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

Consumer spending per capita for food and non-alcoholic beverages (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. In contrast, the Food market in the Consumer Market Outlook covers only certain segments of processed food and excludes for example fresh food, oils and fats and some other items. The markets for Alcoholic, Non-Alcoholic and Hot Drinks in turn not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés) that are valued at wholesale prices. | Source: Statista

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Alcohol, tobacco in US$

Consumer spending per capita for alcoholic beverages, tobacco and narcotics (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. The market for Alcoholic, Non-Alcoholic and Hot Drinks not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés) that are valued at wholesale prices. | Source: Statista

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Clothing, footwear in US$

Consumer spending per capita for clothing and footwear (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). Included are both consumption of goods as well as services (cleaning and cobblers). | Source: Statista

Consumer spending per capita for furnishings, household equipment and routine maintenance of the house (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista

Consumer spending per capita for transport (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. | Source: Statista

Consumer spending per capita for restaurants and hotels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista

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Other in US$

Consumer spending per capita for miscellaneous goods and services (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. | Source: Statista

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Consumer price index (CPI)

Consumer price index (CPI) for a weighted basket of goods and services. The weights of the components vary by country according to local consumption patterns. The base year (100) has been set to 2017 for all countries, the base year of the input data may vary. | Source: IMF, Statista

Consumer price index for miscellaneous goods and services. These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Gaps filled with next higher COICOP position. | Source: IMF, national statististical offices, Statista

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Price level (U.S.=100)

Estimated price level index for all goods and services for individual private consumption (U.S.=100). Data has been extrapolated from the latest iteration of the World Bank's International Comparison Program (2011) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2017. Numbers above 100 signal that prices are on average higher in this region than in the U.S., numbers below would mean prices in this region are on average lower than in the U.S.. | Source: Statista

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Foodstuffs, beverages

Estimated price level index for food and non-alcoholic beverages (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Alcohol, tobacco

Estimated price level index for alcoholic beverages, tobacco and narcotics (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Clothing, footwear

Estimated price level index for clothing and footwear (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Housing

Estimated price level index for housing, water, electricity, gas and other fuels (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Household

Estimated price level index for furnishings, household equipment and routine maintenance of the house (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Health

Estimated price level index for health (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Transport

Estimated price level index for transport (U.S.=100). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Communication

Estimated price level index for communication (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Recreation, culture

Estimated price level index for recreation and culture (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Education

Estimated price level index for education (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Restaurants, hotels

Estimated price level index for restaurants and hotels (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Other

Estimated price level index for other goods and services (U.S.=100). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Price of a Big Mac in US$

The price of a Big Mac at McDonald's has been introduced by the Economist in 1986 as an illustrative example to compare price levels between countries. The prices have been converted from Local Currency Units (LCU) using the average exchange rate of 2017. | Source: Economist, Statista

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Tax rates

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Sales tax rate in %

Displayed is the standard rate. Due to local sales taxes, the overall tax rate may vary within the country. Likewise, for some product groups and services different rates might apply. | Source: Statista

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Corporate tax rate in %

Displayed is the typical rate for corporate income. Due to local taxes, the overall tax rate may vary within the country. | Source: KPMG, Statista

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Personal income tax rate in %

Displayed is the top marginal tax rate. Due to local taxes, the overall tax rate may vary within the country. | Source: KPMG, Statista

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Tourism

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International tourism departures in m

Number of people from the selected region setting out to travel other countries for touristic purposes | Source: World Bank, Statista

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International tourist arrivals in m

Number of visitors from abroad arriving in the selected region for touristic purposes | Source: World Bank, Statista

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International tourism expenditure in billion US$

International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. Domestic tourism expenditures are therefore not inlcuded. The data is not adjusted for inflation but for currency effects. | Source: World Bank, Statista

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International tourism receipts in billion US$

International tourism receipts denote expenditures by inbound tourists from other countries in the selected region. Receipts from domestic tourism are not included. The data is not adjusted for inflation but for currency effects. | Source: World Bank, Statista

Number of High Net Worth Individuals (HNWI) in the selected region. HNWI are private persons with investible assets of at least 1 million US-Dollars (here based on the current exchange rate of the LCU versus the US-Dollar of each respective year). | Source: Credit Suisse, Statista

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Source: Statista, March 2019

Source: Statista, March 2019, based on IMF, World Bank, UN and Eurostat

Related content

Here you can find more studies and statistics about "Prestige Cosmetics".

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